GemmConvMobileFunction(optimized for mobile) #7034
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qingqing01
reviewed
Dec 27, 2017
paddle/function/GemmConvOp.cpp
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| size_t colWidth = outputHeight * outputWidth; | ||
| // Max col matrix height 256, Max col matrix width 1024 | ||
| size_t stepColHeight = std::min(colHeight, (size_t)256); | ||
| size_t stepColWidth = std::min(colWidth, (size_t)2048); |
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static_cast<size_t>(256)
static_cast<size_t>(2048)| for (size_t filterWidth : {3, 7}) { | ||
| for (size_t stride : {1, 2}) { | ||
| for (size_t padding : {0, 1}) { | ||
| for (size_t dilation : {1, 3}) { |
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Maybe the test case can be reduced to speed up the unit testing time.
paddle/function/Im2Col.h
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| (imRowIdx - paddingHeight) >= inputHeight || | ||
| (imColIdx - paddingWidth) < 0 || | ||
| (imColIdx - paddingWidth) >= inputWidth) { | ||
| colData[colh * colWidthSize + colw] = T(0); |
| outputWidth}); | ||
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| resizeBuffer<Device>(stepColHeight * stepColWidth * sizeof(real)); | ||
| colData = reinterpret_cast<real*>(memory_->getBuf()); |
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I see that the memory_ is not released in every layer. Do you think the if at most 2M extra workspace is used in every layer, we do not need to release it?
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Done. Add release the memory.
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Fix #6801 #6802
#6802 (review)